Llama 2 7B CT-OE is a fine-tuned Llama 2 7B model that provides well-calibrated confidence estimates for open-ended question answering.

The model is fine-tuned (calibration-tuned) using a dataset of open-ended generations from meta-llama/Llama-2-7b-hf, labeled for correctness. At test/inference time, the probability of correctness defines the confidence of the model in its answer. For full details, please see our paper and supporting code.

Other Models: We also release a broader collection of Open-Ended CT Models.

This adapter model is meant to be used on top of meta-llama/Llama-2-7b-hf model generations.

The confidence estimation pipeline follows these steps,

All standard guidelines for the base model's generation apply.

For a complete example, see play.py at the supporting code repository.

NOTE: Using the adapter for generations may hurt downstream task accuracy and confidence estimates. We recommend using the adapter to estimate only confidence.

The model is released under the original model's Llama 2 Community License Agreement.